Poster
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Thu 17:00
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Globally Optimal Learning for Structured Elliptical Losses
Yoav Wald · Nofar Noy · Gal Elidan · Ami Wiesel
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Poster
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Wed 10:45
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Counting the Optimal Solutions in Graphical Models
Radu Marinescu · Rina Dechter
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Poster
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Wed 17:00
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Probabilistic Logic Neural Networks for Reasoning
Meng Qu · Jian Tang
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Spotlight
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Wed 10:35
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Counting the Optimal Solutions in Graphical Models
Radu Marinescu · Rina Dechter
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Spotlight
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Wed 10:20
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Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
Shanshan Wu · Sujay Sanghavi · Alex Dimakis
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Poster
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Wed 10:45
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Smoothing Structured Decomposable Circuits
Andy Shih · Guy Van den Broeck · Paul Beame · Antoine Amarilli
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Poster
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Wed 10:45
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Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay
Frederic Koehler
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Poster
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Wed 10:45
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Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
Shanshan Wu · Sujay Sanghavi · Alex Dimakis
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Poster
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Tue 17:30
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Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees
Ruqi Zhang · Christopher De Sa
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Poster
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Tue 10:45
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Likelihood-Free Overcomplete ICA and Applications In Causal Discovery
Chenwei DING · Mingming Gong · Kun Zhang · Dacheng Tao
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Poster
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Tue 10:45
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Identification of Conditional Causal Effects under Markov Equivalence
Amin Jaber · Jiji Zhang · Elias Bareinboim
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Workshop
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Sat 11:00
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Contributed Talk 1: A Weak Supervision Approach to Detecting Visual Anomalies for Automated Testing of Graphics Units
Adi Szeskin
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